Massive transaction streams present a number of opportunities for data mining techniques. The transactions in such streams might represent calls on a...
Most distributed classification approaches view data distribution as a technical issue and combine local models aiming at a single global model. This...
The raw survey data for data mining are often incomplete. The issues of missing data in knowledge discovery are often ignored in data mining. This art...
We survey a number of applications of the wavelet transform in time series prediction. The Haar a trous wavelet transform is proposed as a means of h...
A crucial issue related to data mining on time-series is that of training period duration. The training horizon used impacts the nature of rules obta...
